Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring (2026 · 10 citations)
Multimodal jailbreak attacks on Large Vision-Language Models (LVLMs) call for detectors that work on attack types never seen in training and that add little runtime cost.
ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models (2026 · 1 citation)
Reasoning models can spend more inference compute ("test-time scaling"), but there has been no dependable way to compare how well different models turn extra tokens into better answers.
Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation (2026 · 1 citation)
Multimodal RAG systems usually choose supporting images by semantic similarity, for example with CLIP-style encoders or MLLM relevance scorers.
Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature Modulation (2026)
The paper tackles weak exploration in LLM reasoning. Standard stochastic decoding only samples from the model's next-token distribution, so the model keeps reasoning along the same habitual lines. The authors instead change the attention temperature, the factor that sets how sharply attention weights concentrate on…

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Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 2 November 2026